Jia Wu

According to our database1, Jia Wu authored at least 132 papers between 2008 and 2020.

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2020
Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion.
World Wide Web, 2020

Detecting the evolving community structure in dynamic social networks.
World Wide Web, 2020

Let's CoRank: trust of users and tweets on social networks.
World Wide Web, 2020

Time-Variant Graph Classification.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Dual Implicit Mining-Based Latent Friend Recommendation.
IEEE Trans. Syst. Man Cybern. Syst., 2020

CenEEGs: Valid EEG Selection for Classification.
ACM Trans. Knowl. Discov. Data, 2020

MeMu: Metric correlation Siamese network and multi-class negative sampling for visual tracking.
Pattern Recognit., 2020

Dynamic Edge Access System in IoT Environment.
IEEE Internet Things J., 2020

Infrared and visible image fusion via detail preserving adversarial learning.
Inf. Fusion, 2020

Siamese capsule networks with global and local features for text classification.
Neurocomputing, 2020

A Deep Framework for Cross-Domain and Cross-System Recommendations.
CoRR, 2020

Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams.
Complex., 2020

Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Opinion Maximization in Social Trust Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Learning for Community Detection: Progress, Challenges and Opportunities.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Temporal Network Embedding with High-Order Nonlinear Information.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Correlation-Based Feature Weighting Filter for Naive Bayes.
IEEE Trans. Knowl. Data Eng., 2019

Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks.
ACM Trans. Knowl. Discov. Data, 2019

Multi-View Fusion with Extreme Learning Machine for Clustering.
ACM Trans. Intell. Syst. Technol., 2019

Learning Shapelet Patterns from Network-Based Time Series.
IEEE Trans. Ind. Informatics, 2019

Time series feature learning with labeled and unlabeled data.
Pattern Recognit., 2019

Salient Subsequence Learning for Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

An unsupervised parameter learning model for RVFL neural network.
Neural Networks, 2019

Robust correlation filter tracking with multi-scale spatial view.
Neurocomputing, 2019

Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis.
Complex., 2019

A Destination Prediction Network Based on Spatiotemporal Data for Bike-Sharing.
Complex., 2019

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.
IEEE Access, 2019

GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

ReInCre: Enhancing Collaborative Filtering Recommendations by Incorporating User Rating Credibility.
Proceedings of the Web Information Systems Engineering, 2019

Link Prediction with Signed Latent Factors in Signed Social Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Smooth Deep Network Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2019

Evolutionary Community Detection in Dynamic Social Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Structure Learning for Rumor Detection on Twitter.
Proceedings of the International Joint Conference on Neural Networks, 2019

Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Noise-Resilient Similarity Preserving Network Embedding for Social Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CoTrRank: Trust Evaluation of Users and Tweets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Active Learning for Anchor User Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Social Trust Network Embedding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Dual influence embedded social recommendation.
World Wide Web, 2018

Multiple Structure-View Learning for Graph Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Consistent Random Forest Framework: Bernoulli Random Forests.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Instance Learning with Discriminative Bag Mapping.
IEEE Trans. Knowl. Data Eng., 2018

Dynamic Island Model based on Spectral Clustering in Genetic Algorithm.
CoRR, 2018

Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications.
Complex., 2018

Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

FraudNE: a Joint Embedding Approach for Fraud Detection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Individual Interest and Trust Driving Collective Intelligence Awareness for Social Recommendation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Deep Framework for Cross-Domain and Cross-System Recommendations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Active Discriminative Network Representation Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Recommendation with Multi-Source Heterogeneous Information.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Probabilistic Graph Embedding for Unsupervised Domain Adaptation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

TLR: Transfer Latent Representation for Unsupervised Domain Adaptation.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

VCF: Velocity Correlation Filter, Towards Space-Borne Satellite Video Tracking.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Deep Structure Learning for Fraud Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Social Recommendation with an Essential Preference Space.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Combining Structured Node Content and Topology Information for Networked Graph Clustering.
ACM Trans. Knowl. Discov. Data, 2017

Positive and Unlabeled Multi-Graph Learning.
IEEE Trans. Cybern., 2017

Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.
IEEE Trans. Cybern., 2017

Stacked Convolutional Denoising Auto-Encoders for Feature Representation.
IEEE Trans. Cybern., 2017

Instance cloned extreme learning machine.
Pattern Recognit., 2017

SALE: Self-adaptive LSH encoding for multi-instance learning.
Pattern Recognit., 2017

A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification.
Knowl. Based Syst., 2017

Boosting for graph classification with universum.
Knowl. Inf. Syst., 2017

Toward value difference metric with attribute weighting.
Knowl. Inf. Syst., 2017

Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior.
Inf. Sci., 2017

Collective Hyping Detection System for Identifying Online Spam Activities.
IEEE Intell. Syst., 2017

Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms.
CoRR, 2017

Towards large-scale social networks with online diffusion provenance detection.
Comput. Networks, 2017

Dynamic island model based on spectral clustering in genetic algorithm.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

CPMF: A collective pairwise matrix factorization model for upcoming event recommendation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Pre-trained Extreme Learning Machine.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification.
IEEE Trans. Knowl. Data Eng., 2016

Memetic Extreme Learning Machine.
Pattern Recognit., 2016

SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognit., 2016

Big social network influence maximization via recursively estimating influence spread.
Knowl. Based Syst., 2016

Multi-graph-view subgraph mining for graph classification.
Knowl. Inf. Syst., 2016

PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning.
CoRR, 2016

Time-Variant Graph Classification.
CoRR, 2016

Multi-instance graphical transfer clustering for traffic data learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Mining subcascade features for cascade outbreak prediction in big networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Training deep neural networks on imbalanced data sets.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A recursive method for big network influence estimation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Evolutionary lazy learning for Naive Bayes classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised Feature Learning from Time Series.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Tri-Party Deep Network Representation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Semi-Data-Driven Network Coarsening.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Multiple-Instance Learning with Evolutionary Instance Selection.
Proceedings of the Database Systems for Advanced Applications, 2016

Global and Local Influence-based Social Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Collaborative Social Group Influence for Event Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Direct Discriminative Bag Mapping for Multi-Instance Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
CogBoost: Boosting for Fast Cost-Sensitive Graph Classification.
IEEE Trans. Knowl. Data Eng., 2015

Boosting for Multi-Graph Classification.
IEEE Trans. Cybern., 2015

Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification.
IEEE Trans. Cybern., 2015

Finding the best not the most: regularized loss minimization subgraph selection for graph classification.
Pattern Recognit., 2015

Locally Weighted Learning: How and When Does it Work in Bayesian Networks?
Int. J. Comput. Intell. Syst., 2015

Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl., 2015

A memetic algorithm based extreme learning machine for classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multi-Graph-View Learning for Complicated Object Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Bag Constrained Structure Pattern Mining for Multi-Graph Classification.
IEEE Trans. Knowl. Data Eng., 2014

A naive Bayes probability estimation model based on self-adaptive differential evolution.
J. Intell. Inf. Syst., 2014

Learning attribute weighted AODE for ROC area ranking.
Int. J. Inf. Commun. Technol., 2014

Multi-Graph Learning with Positive and Unlabeled Bags.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Multi-Instance Learning from Positive and Unlabeled Bags.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Dual instance and attribute weighting for Naive Bayes classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Attribute weighting: How and when does it work for Bayesian Network Classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-graph-view Learning for Graph Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Weighted Clone Selection Algorithm based on Rough Set Theory.
J. Softw., 2013

Boosting for superparent-one-dependence estimators.
Int. J. Comput. Sci. Math., 2013

Active AODE learning based on a novel sampling strategy and its application.
Int. J. Comput. Appl. Technol., 2013

Artificial immune system for attribute weighted Naive Bayes classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Self-adaptive probability estimation for Naive Bayes classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Multi-instance Multi-graph Dual Embedding Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Attribute Weighting via Differential Evolution for Attribute Weighted Clonal Selection Algorithm.
J. Comput., 2012

Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification.
Int. J. Comput. Appl. Technol., 2012

2009
An Empirical Study on Several Classification Algorithms and Their Improvements.
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

2008
A Combined Classification Algorithm Based on C4.5 and NB.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008


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